Capitol AI Appoints Rama Veeraragoo to Lead Product Management
January 29, 2026 - Capitol AI has named Rama Veeraragoo to lead product management as the company grows across the United States and the United Kingdom. The focus: build decision-grade systems that teams in regulated, high-stakes environments can trust.
Veeraragoo will steer product strategy, translate frontline needs into reliable systems, and guide the platform's user experience and roadmap. The mandate is clear: make accuracy, attribution, and transparency the default, not an afterthought.
"Rama understands that product design and development is where strategy meets real world practice," said Shaun Modi, CEO and founder of Capitol AI. "He has a rare ability to listen to frontline users, extract what actually matters, and turn that into systems that hold up under pressure."
Why this matters for product teams
If you build products for regulated customers, you know the bar is higher. Decisions carry risk. Your features need to be reliable, explainable, and audit-friendly.
- Decision-grade standards: Define acceptance criteria that map to real outcomes (accuracy thresholds, latency budgets, failure modes, human review gates).
- Attribution by default: Show sources, lineage, and versioning for models, data, and prompts. Make audits boring.
- Global-ready compliance: Support region-aware controls (US/UK), data residency, access policies, and configurable retention. Consider frameworks like the NIST AI Risk Management Framework.
- UX that reduces cognitive load: Clear summaries, risk flags, and explainability built into the flow, not buried in docs.
- Field feedback → system changes: Tight loops with frontline users, structured product ops, and stress testing before rollout.
Veeraragoo's background
Veeraragoo brings deep experience at the intersection of financial infrastructure and risk. He held a product leadership role at Stripe, working on complex systems that support global financial operations.
He has worked in both the US and UK, and has shipped software for risk reduction and operational resilience across enterprise, professional services, and government customers. He studied at the University of Oxford and the University of Chicago Booth School of Business.
"Capitol is building systems for environments where accuracy and judgment cannot be compromised," said Veeraragoo. "Designing products that work across regulatory frameworks and organizational cultures is about helping people do work that used to be difficult - and making it easy, reliable, and delightful."
What to watch in Capitol AI's roadmap
With Veeraragoo leading product, expect a push on trustworthy workflows end-to-end - from data ingestion to analysis to decision support - and features that travel well across US and UK requirements.
- Deeper attribution, audit trails, and traceability across the intelligence lifecycle.
- Region-aware policies, controls, and deployment patterns.
- UX patterns built for analysts and operators in high-stakes environments.
- Focus on sectors where risk and speed meet: financial services, professional services, and national security.
Quick checklist for PMs building in high-stakes contexts
- Define risk tiers and match them to controls (human-in-the-loop, approvals, and rollbacks).
- Instrument everything: accuracy, drift, latency, and user trust signals.
- Ship with playbooks: incident response, red-teaming, and escalation paths.
- Make provenance visible: source citations, data lineage, and model versions in the UI.
- Localize compliance: permissions, retention, and audit exports per region.
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About Capitol AI
Capitol AI is an enterprise AI platform for organizations operating in high-stakes environments where clarity and trust matter. The platform turns structured and unstructured data into clear, contextual stories that support confident decisions. It's built to strengthen human judgment with accuracy, attribution, and transparency across the intelligence lifecycle. Learn more at capitol.ai.
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